Goals, technology used and achievments

Sample MVP Projects

Common stages
Step 1

Goal Setting

Analyze clearly the problem to be solved, the attached business model, what makes an MVP.

Step 2


Study implementation options, estimate cost and time tables, pick an optimized set.

Step 3


Hire the right team and build an effective management /tracking framework

Step 4


Put the proposed release version to various tests, both internal and external (test users).

Representative Samples


ML-based COVID Gating Solution using audio signature of tested person

Goals and Plan

As I joined the project, the internal Machine Learning team had a working prototype used to test the underlying model.

My goal has been to convert the prototype to field-ready MVP and enable large-scale testing.

In parallel, develop a flexible testing and reporting framework to be used by the field-resident medical teams in more than 5 different countries.


Within 6 months, transfer a lab-resident ML implementation to a Cloud-based infrastructure, in parallel to developing a fully functional end users’ mobile app.

Self-implement a low-cost, highly flexible testing and reporting system using low-code tools.


AWS, SageMaker ML Engine, WordPress + GLIDE for the testing system


Computer-Vision based Semi-Autonomous Scooter

Goals and Plan

The SCOOTO venture targeted the (then) flourishing rented scooters market, with a solution to the need to hire teams to manually pick scattered scooters and bring them to chargings points, and then return to central locations.

The solution – equip scooters with the ability to autonomously drive to charging points and to central locations, saving the need for human intervention. 

The project aimed at building a demonstrable prototype that can be shown to seed investors. 



A complete design of a practical solution, both mechanical (3-wheel design) as well as electrical (single board computer running AI-based computer vision) plus a matching business plan.

Demonstrable implementation within three months, through sub-contracted computer-vision software development.


Single-board computer running open-source robotics kernel and OpenCV.


Automated verification is used to secure delivery and check-out, using a QR-based coding system

Goals and Plan

The project had two stages, both based on a patented QR-based identity verification method.

In stage one, I managed a sub-contracted implementation of an eCommerce delivery solution validating the accuracy and ownership of a sent package.

In stage two, the patent has been applied to automate retail check-out, using QR-identified packaging of purchased products  



A scalable, Cloud-based implementation of the patented QR processing algorithm.

Successfully implement mobile apps using both native codings (sun-contracted and later (Stage two) a no-code tool, achieving a much faster, lower-cost implementation.


AWS Cloud Server, PHP framework, Android native code, Google’s No Code tool AppSheet.


NFC-card based payment solution for eCommerce sites

Goals and Plan

The venture aimed at introducing a new form of eCommerce payment method, in which customers, instead of entering details of their credit card, will use NFC-equipped cards to store the data and touch the back of their phones with the card to complete the process.

The project goal was to implement a demonstrable prototype using regular chip-equipped credit cards. Such a card will be used, at the check-out page, to complete a purchase from a demo eCommerce site by simply touching the back of their mobile phones.



In less than 6 months, complete the development of a rather complex, three-part software system demonstrating the desired process.

Develop a unique interface for the chip-equipped credit card.

Integrate with a popular eCommerce platform, forming an important step toward a successful launch.


Android native app /NFC driver, Cloud-based transaction synchronization system using Java, WooCommerce eCommerce platform.

towards actual Implementation

Common Questions & Answers

The parts managed as part of my engagement agreement depends on the venture needs and structure. It may cover just specific needs such as a revised and expanded business plan, product concept design or a launch-ready deck. Or a full responsibility for the entire process from ideation to MVP launch, managed and coordinating by me.

Normally I would mainly plan, design and manage the development process, while coding is done by a cooperatively selected method – in house, sub-contracted or overseas. However in cases where the abilities of emerging low-code /no-code tools cover the needs of the projects, I may propose to implement the MVP myself, or at least major parts of it. 

Both Project and Product management are critical components of any venture, and MVP is no exception. However if the needed experience and the acquaintance with the required technology are missing, assigning the task to an external contractor actually reduces the risk and eliminates frequent waste of time and resources. 

This depends on the complexity an role of high-quality design on the specific project. Many MVP projects can be designed by me, possibly with the help of affordable sub-contracting. More complex, high-end projects will require a professional design house.

This part is normally handled by the venture, as it requires engaging familiar community to provide an initial feedback. In some cases my involvement in the form of sub-contracting such effort is needed.

In general – yes. However small projects, focusing on MVP and implemented using low-code tools will rarely justify the application of the 2-weeks release approach and can be managed as a simple waterfall process.

I normally prepare the product-focused deck, in the form of presentations, landing pages and white papers. More complex launch processes and the handling of the digital marketing campaign are assigned to dedicated expert teams.


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